Paper
22 March 2007 Optical-based navigation system for paranasal sinus surgery and its first clinical trial
Author Affiliations +
Abstract
Due to very complex structure of nasal area that is covered by facial bones, a tracking of surgical instruments on the preoperative CT image is very important for obtaining an improved image guidance as well as preventing surgical accidents in the paranasal sinus surgery. In this contribution, we present our recently developed an efficient and compact navigation system for paranasal sinus surgery and its first clinical trial. In our system, we use an optical-based 3D range imaging device intra-operatively, in order to achieve registration and a tracking of instruments. Before the intervention, the range image of patient's face is acquired by a 3D range scanner and registered to corresponding surface extracted from the preoperative CT images. The surgical instrument fitted with spherical markers that also can be measured by range scanning device, is tracked during the procedure. The main advantages of our system are (a) markerless on the patient's body, (b) an easy semiautomatic registration, (c) frameless during surgery, thus, it is feasible to update a registration and to restart the tracking when a patient moves. In this paper, we describe a summary of used techniques in our approach including the benefits and limitations of the system, experimental results using a precise model based on a human paranasal structure and a first clinical trial in the surgical room.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Baigalmaa Tsagaan, Seiji Yamamoto, Keiichi Abe, Hiromasa Nakatani, and Susumu Terakawa "Optical-based navigation system for paranasal sinus surgery and its first clinical trial", Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 650924 (22 March 2007); https://doi.org/10.1117/12.709070
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KEYWORDS
3D image processing

3D scanning

Navigation systems

Surgery

Computed tomography

Image registration

3D modeling

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